LAG3 is a Central Regulator of NK Cell Cytokine Production
Narayanan, S.; Ahl, P. J.; Au, V. B.; Kaliaperumal, N.; Lim, S. G.; Wang, C.-I.; Fairhurst, A.-M.; Connolly, J. E.
Show abstract
Natural killer (NK) cells are innate effectors, which play a crucial role in controlling viral infections. Administration of IFN- has shown promising results as a therapeutic, controlling HIV, and chronic viral hepatitis. However the downstream mechanisms by which IFN- mediates its anti-viral effects is largely unknown. In this investigation, we evaluated the impact of IFN- on peripheral blood NK cells from healthy donors. High dimensional flow cytometry analysis of NK cell surface receptors following exposure to IFN- showed an increased expression of the check point inhibitor LAG3. Further characterization revealed that LAG3 was expressed in a subset of NK cells with high expression of activation and maturation markers. Assessment of metabolic pathways showed that LAG3+ NK cells had enhanced rates of glycolysis and glycolytic capacity, suggesting that it is a primed effector subset with enhanced glucose metabolism. Inhibition of LAG3 on NK cells using antibody in vitro resulted in a profound increase in secretion of cytokines IFN-{gamma}, TNF-, MIP-1 and MIP-1{beta}, without affecting the cytotoxic activity. Taken together, these results showed that LAG3 is a negative regulator of cytokine production by mature NK cells.
Matching journals
The top 3 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- A Comprehensive Assessment of Human Natural Killer Cell Phenotype and Function in Whole Blood 96%
- Kir6.1, a component of an ATP-sensitive potassium channel, regulates natural killer cell development 96%
- NF-kB c-Rel is dispensable for the development but is required for the cytotoxic function of NK cells 95%
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.